Overview

Dataset statistics

Number of variables29
Number of observations131
Missing cells168
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.8 KiB
Average record size in memory233.0 B

Variable types

Numeric9
Categorical20

Alerts

airdate has constant value "2020-12-10" Constant
url has a high cardinality: 131 distinct values High cardinality
name has a high cardinality: 90 distinct values High cardinality
_embedded_show_url has a high cardinality: 84 distinct values High cardinality
_embedded_show_name has a high cardinality: 83 distinct values High cardinality
_embedded_show_premiered has a high cardinality: 63 distinct values High cardinality
_embedded_show_officialSite has a high cardinality: 75 distinct values High cardinality
_embedded_show_summary has a high cardinality: 70 distinct values High cardinality
_links_self_href has a high cardinality: 131 distinct values High cardinality
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
season is highly correlated with numberHigh correlation
number is highly correlated with season and 2 other fieldsHigh correlation
runtime is highly correlated with number and 2 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with number and 2 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
name is highly correlated with _embedded_show_officialSite and 7 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with name and 15 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_officialSite and 6 other fieldsHigh correlation
_embedded_show_name is highly correlated with name and 15 other fieldsHigh correlation
summary is highly correlated with airdate and 1 other fieldsHigh correlation
_embedded_show_summary is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
_embedded_show_genres is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
type is highly correlated with name and 6 other fieldsHigh correlation
_embedded_show_type is highly correlated with _embedded_show_officialSite and 7 other fieldsHigh correlation
airdate is highly correlated with name and 16 other fieldsHigh correlation
airtime is highly correlated with _embedded_show_officialSite and 6 other fieldsHigh correlation
_embedded_show_status is highly correlated with _embedded_show_officialSite and 7 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with name and 12 other fieldsHigh correlation
image is highly correlated with name and 16 other fieldsHigh correlation
_embedded_show_url is highly correlated with name and 15 other fieldsHigh correlation
_embedded_show_language is highly correlated with _embedded_show_officialSite and 5 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with name and 8 other fieldsHigh correlation
airstamp is highly correlated with _embedded_show_officialSite and 6 other fieldsHigh correlation
id is highly correlated with season and 13 other fieldsHigh correlation
name is highly correlated with season and 19 other fieldsHigh correlation
season is highly correlated with id and 12 other fieldsHigh correlation
number is highly correlated with name and 12 other fieldsHigh correlation
type is highly correlated with name and 7 other fieldsHigh correlation
airtime is highly correlated with airstamp and 10 other fieldsHigh correlation
airstamp is highly correlated with name and 15 other fieldsHigh correlation
runtime is highly correlated with name and 14 other fieldsHigh correlation
image is highly correlated with id and 22 other fieldsHigh correlation
summary is highly correlated with name and 6 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 19 other fieldsHigh correlation
_embedded_show_url is highly correlated with id and 23 other fieldsHigh correlation
_embedded_show_name is highly correlated with id and 23 other fieldsHigh correlation
_embedded_show_type is highly correlated with name and 17 other fieldsHigh correlation
_embedded_show_language is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_genres is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_status is highly correlated with name and 16 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with name and 16 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with name and 16 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with id and 23 other fieldsHigh correlation
_embedded_show_ended is highly correlated with id and 14 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with id and 23 other fieldsHigh correlation
_embedded_show_weight is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with id and 7 other fieldsHigh correlation
_embedded_show_summary is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_updated is highly correlated with id and 14 other fieldsHigh correlation
runtime has 18 (13.7%) missing values Missing
image has 87 (66.4%) missing values Missing
_embedded_show_runtime has 50 (38.2%) missing values Missing
_embedded_show_averageRuntime has 12 (9.2%) missing values Missing
url is uniformly distributed Uniform
image is uniformly distributed Uniform
_links_self_href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links_self_href has unique values Unique

Reproduction

Analysis started2022-05-10 02:05:48.372136
Analysis finished2022-05-10 02:07:22.487441
Duration1 minute and 34.12 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2008909.191
Minimum1864578
Maximum2289377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:22.597086image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1864578
5-th percentile1956709
Q11976757
median1983983
Q32001575
95-th percentile2182839.5
Maximum2289377
Range424799
Interquartile range (IQR)24818

Descriptive statistics

Standard deviation69183.17135
Coefficient of variation (CV)0.03443817753
Kurtosis5.390222214
Mean2008909.191
Median Absolute Deviation (MAD)14546
Skewness2.317737743
Sum263167104
Variance4786311198
MonotonicityNot monotonic
2022-05-09T21:07:22.790941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19936351
 
0.8%
20113531
 
0.8%
20000541
 
0.8%
20000531
 
0.8%
20000521
 
0.8%
20000511
 
0.8%
20000501
 
0.8%
20000491
 
0.8%
20000481
 
0.8%
19909001
 
0.8%
Other values (121)121
92.4%
ValueCountFrequency (%)
18645781
0.8%
19442151
0.8%
19459151
0.8%
19503661
0.8%
19535181
0.8%
19535191
0.8%
19544541
0.8%
19589641
0.8%
19589651
0.8%
19607271
0.8%
ValueCountFrequency (%)
22893771
0.8%
22893221
0.8%
22287081
0.8%
22059731
0.8%
22059721
0.8%
21972801
0.8%
21895521
0.8%
21761271
0.8%
21761261
0.8%
21698521
0.8%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarok
 
1
https://www.tvmaze.com/episodes/2011353/my-wonderful-roommate-2x08-how-to-reject-male-friends-mind
 
1
https://www.tvmaze.com/episodes/2000054/ultimate-note-1x07-episode-7
 
1
https://www.tvmaze.com/episodes/2000053/ultimate-note-1x06-episode-6
 
1
https://www.tvmaze.com/episodes/2000052/ultimate-note-1x05-episode-5
 
1
Other values (126)
126 

Length

Max length126
Median length104
Mean length77.36641221
Min length58

Characters and Unicode

Total characters10135
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarok
2nd rowhttps://www.tvmaze.com/episodes/1988858/sim-for-you-4x20-chanyeols-episode-20
3rd rowhttps://www.tvmaze.com/episodes/1983840/troe-iz-prostokvasino-s02-special-alenkij-cvetocek
4th rowhttps://www.tvmaze.com/episodes/1963997/257-pricin-ctoby-zit-2x07-seria-20
5th rowhttps://www.tvmaze.com/episodes/2053349/ispoved-1x07-irina-bezrukova

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarok1
 
0.8%
https://www.tvmaze.com/episodes/2011353/my-wonderful-roommate-2x08-how-to-reject-male-friends-mind1
 
0.8%
https://www.tvmaze.com/episodes/2000054/ultimate-note-1x07-episode-71
 
0.8%
https://www.tvmaze.com/episodes/2000053/ultimate-note-1x06-episode-61
 
0.8%
https://www.tvmaze.com/episodes/2000052/ultimate-note-1x05-episode-51
 
0.8%
https://www.tvmaze.com/episodes/2000051/ultimate-note-1x04-episode-41
 
0.8%
https://www.tvmaze.com/episodes/2000050/ultimate-note-1x03-episode-31
 
0.8%
https://www.tvmaze.com/episodes/2000049/ultimate-note-1x02-episode-21
 
0.8%
https://www.tvmaze.com/episodes/2000048/ultimate-note-1x01-episode-11
 
0.8%
https://www.tvmaze.com/episodes/1990900/nimra-etnin-1x07-late-night1
 
0.8%
Other values (121)121
92.4%

Length

2022-05-09T21:07:23.141913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarok1
 
0.8%
https://www.tvmaze.com/episodes/2032523/shikol-1x05-episode-51
 
0.8%
https://www.tvmaze.com/episodes/1983840/troe-iz-prostokvasino-s02-special-alenkij-cvetocek1
 
0.8%
https://www.tvmaze.com/episodes/1963997/257-pricin-ctoby-zit-2x07-seria-201
 
0.8%
https://www.tvmaze.com/episodes/2053349/ispoved-1x07-irina-bezrukova1
 
0.8%
https://www.tvmaze.com/episodes/1960727/psih-1x06-opustosenie1
 
0.8%
https://www.tvmaze.com/episodes/1954454/serlok-v-rossii-1x08-serdce-holmsa-ii1
 
0.8%
https://www.tvmaze.com/episodes/1981561/volk-1x03-seria-031
 
0.8%
https://www.tvmaze.com/episodes/1981562/volk-1x04-seria-041
 
0.8%
https://www.tvmaze.com/episodes/1986872/kotiki-1x09-seria-91
 
0.8%
Other values (121)121
92.4%

Most occurring characters

ValueCountFrequency (%)
e828
 
8.2%
-768
 
7.6%
/655
 
6.5%
s653
 
6.4%
t596
 
5.9%
o572
 
5.6%
w432
 
4.3%
i421
 
4.2%
a412
 
4.1%
p383
 
3.8%
Other values (30)4415
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6817
67.3%
Decimal Number1502
 
14.8%
Other Punctuation1048
 
10.3%
Dash Punctuation768
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e828
12.1%
s653
 
9.6%
t596
 
8.7%
o572
 
8.4%
w432
 
6.3%
i421
 
6.2%
a412
 
6.0%
p383
 
5.6%
m375
 
5.5%
d296
 
4.3%
Other values (16)1849
27.1%
Decimal Number
ValueCountFrequency (%)
1313
20.8%
0231
15.4%
2202
13.4%
9176
11.7%
3109
 
7.3%
8104
 
6.9%
5103
 
6.9%
797
 
6.5%
487
 
5.8%
680
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/655
62.5%
.262
 
25.0%
:131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-768
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6817
67.3%
Common3318
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e828
12.1%
s653
 
9.6%
t596
 
8.7%
o572
 
8.4%
w432
 
6.3%
i421
 
6.2%
a412
 
6.0%
p383
 
5.6%
m375
 
5.5%
d296
 
4.3%
Other values (16)1849
27.1%
Common
ValueCountFrequency (%)
-768
23.1%
/655
19.7%
1313
9.4%
.262
 
7.9%
0231
 
7.0%
2202
 
6.1%
9176
 
5.3%
:131
 
3.9%
3109
 
3.3%
8104
 
3.1%
Other values (4)367
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII10135
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e828
 
8.2%
-768
 
7.6%
/655
 
6.5%
s653
 
6.4%
t596
 
5.9%
o572
 
5.6%
w432
 
4.3%
i421
 
4.2%
a412
 
4.1%
p383
 
3.8%
Other values (30)4415
43.6%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct90
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Episode 1
 
7
Episode 6
 
6
Episode 4
 
6
Episode 3
 
6
Episode 2
 
5
Other values (85)
101 

Length

Max length76
Median length69
Mean length17.2519084
Min length7

Characters and Unicode

Total characters2260
Distinct characters131
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)56.5%

Sample

1st rowПодарок
2nd rowChanyeol's Episode 20
3rd rowАленький цветочек
4th rowСерия 20
5th rowИрина Безрукова

Common Values

ValueCountFrequency (%)
Episode 17
 
5.3%
Episode 66
 
4.6%
Episode 46
 
4.6%
Episode 36
 
4.6%
Episode 25
 
3.8%
Episode 203
 
2.3%
Episode 73
 
2.3%
Episode 53
 
2.3%
Episode 103
 
2.3%
Episode 83
 
2.3%
Other values (80)86
65.6%

Length

2022-05-09T21:07:23.315353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode61
 
14.6%
112
 
2.9%
ho9
 
2.1%
and7
 
1.7%
47
 
1.7%
7
 
1.7%
27
 
1.7%
37
 
1.7%
66
 
1.4%
205
 
1.2%
Other values (224)291
69.5%

Most occurring characters

ValueCountFrequency (%)
288
 
12.7%
e154
 
6.8%
o134
 
5.9%
i131
 
5.8%
s103
 
4.6%
a99
 
4.4%
d93
 
4.1%
E78
 
3.5%
p77
 
3.4%
r67
 
3.0%
Other values (121)1036
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1433
63.4%
Uppercase Letter365
 
16.2%
Space Separator288
 
12.7%
Decimal Number123
 
5.4%
Other Punctuation40
 
1.8%
Dash Punctuation4
 
0.2%
Open Punctuation2
 
0.1%
Close Punctuation2
 
0.1%
Math Symbol2
 
0.1%
Other Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e154
 
10.7%
o134
 
9.4%
i131
 
9.1%
s103
 
7.2%
a99
 
6.9%
d93
 
6.5%
p77
 
5.4%
r67
 
4.7%
n54
 
3.8%
t52
 
3.6%
Other values (48)469
32.7%
Uppercase Letter
ValueCountFrequency (%)
E78
21.4%
H24
 
6.6%
T19
 
5.2%
C17
 
4.7%
M16
 
4.4%
A16
 
4.4%
S14
 
3.8%
F12
 
3.3%
L12
 
3.3%
R11
 
3.0%
Other values (37)146
40.0%
Decimal Number
ValueCountFrequency (%)
126
21.1%
225
20.3%
019
15.4%
312
9.8%
411
8.9%
69
 
7.3%
56
 
4.9%
96
 
4.9%
85
 
4.1%
74
 
3.3%
Other Punctuation
ValueCountFrequency (%)
:8
20.0%
,8
20.0%
!6
15.0%
'5
12.5%
?5
12.5%
&2
 
5.0%
"2
 
5.0%
.2
 
5.0%
/1
 
2.5%
#1
 
2.5%
Space Separator
ValueCountFrequency (%)
288
100.0%
Dash Punctuation
ValueCountFrequency (%)
-4
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%
Math Symbol
ValueCountFrequency (%)
|2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1486
65.8%
Common462
 
20.4%
Cyrillic312
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e154
 
10.4%
o134
 
9.0%
i131
 
8.8%
s103
 
6.9%
a99
 
6.7%
d93
 
6.3%
E78
 
5.2%
p77
 
5.2%
r67
 
4.5%
n54
 
3.6%
Other values (43)496
33.4%
Cyrillic
ValueCountFrequency (%)
е24
 
7.7%
н22
 
7.1%
о22
 
7.1%
а20
 
6.4%
и19
 
6.1%
л14
 
4.5%
р13
 
4.2%
к12
 
3.8%
д12
 
3.8%
с11
 
3.5%
Other values (42)143
45.8%
Common
ValueCountFrequency (%)
288
62.3%
126
 
5.6%
225
 
5.4%
019
 
4.1%
312
 
2.6%
411
 
2.4%
69
 
1.9%
:8
 
1.7%
,8
 
1.7%
56
 
1.3%
Other values (16)50
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1943
86.0%
Cyrillic312
 
13.8%
None4
 
0.2%
Letterlike Symbols1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
288
14.8%
e154
 
7.9%
o134
 
6.9%
i131
 
6.7%
s103
 
5.3%
a99
 
5.1%
d93
 
4.8%
E78
 
4.0%
p77
 
4.0%
r67
 
3.4%
Other values (64)719
37.0%
Cyrillic
ValueCountFrequency (%)
е24
 
7.7%
н22
 
7.1%
о22
 
7.1%
а20
 
6.4%
и19
 
6.1%
л14
 
4.5%
р13
 
4.2%
к12
 
3.8%
д12
 
3.8%
с11
 
3.5%
Other values (42)143
45.8%
None
ValueCountFrequency (%)
ö1
25.0%
ü1
25.0%
ó1
25.0%
å1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct15
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.7480916
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:23.475600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)1

Descriptive statistics

Standard deviation537.7449545
Coefficient of variation (CV)3.430631588
Kurtosis8.547486454
Mean156.7480916
Median Absolute Deviation (MAD)0
Skewness3.227238549
Sum20534
Variance289169.6361
MonotonicityNot monotonic
2022-05-09T21:07:23.643445image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
187
66.4%
213
 
9.9%
202010
 
7.6%
37
 
5.3%
44
 
3.1%
161
 
0.8%
101
 
0.8%
51
 
0.8%
81
 
0.8%
541
 
0.8%
Other values (5)5
 
3.8%
ValueCountFrequency (%)
187
66.4%
213
 
9.9%
37
 
5.3%
44
 
3.1%
51
 
0.8%
61
 
0.8%
71
 
0.8%
81
 
0.8%
91
 
0.8%
101
 
0.8%
ValueCountFrequency (%)
202010
7.6%
541
 
0.8%
511
 
0.8%
181
 
0.8%
161
 
0.8%
101
 
0.8%
91
 
0.8%
81
 
0.8%
71
 
0.8%
61
 
0.8%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct42
Distinct (%)32.3%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean24.69230769
Minimum1
Maximum337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:23.804202image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q318.5
95-th percentile105.6
Maximum337
Range336
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation57.41591036
Coefficient of variation (CV)2.325254937
Kurtosis19.66010424
Mean24.69230769
Median Absolute Deviation (MAD)4
Skewness4.355392498
Sum3210
Variance3296.586762
MonotonicityNot monotonic
2022-05-09T21:07:23.958814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
112
 
9.2%
611
 
8.4%
411
 
8.4%
710
 
7.6%
39
 
6.9%
28
 
6.1%
87
 
5.3%
97
 
5.3%
57
 
5.3%
204
 
3.1%
Other values (32)44
33.6%
ValueCountFrequency (%)
112
9.2%
28
6.1%
39
6.9%
411
8.4%
57
5.3%
611
8.4%
710
7.6%
87
5.3%
97
5.3%
104
 
3.1%
ValueCountFrequency (%)
3371
0.8%
3361
0.8%
2981
0.8%
2971
0.8%
1491
0.8%
1191
0.8%
1111
0.8%
991
0.8%
831
0.8%
631
0.8%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
regular
130 
significant_special
 
1

Length

Max length19
Median length7
Mean length7.091603053
Min length7

Characters and Unicode

Total characters929
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rowregular
2nd rowregular
3rd rowsignificant_special
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular130
99.2%
significant_special1
 
0.8%

Length

2022-05-09T21:07:24.130782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:07:24.273657image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular130
99.2%
significant_special1
 
0.8%

Most occurring characters

ValueCountFrequency (%)
r260
28.0%
a132
14.2%
e131
14.1%
g131
14.1%
l131
14.1%
u130
14.0%
i4
 
0.4%
s2
 
0.2%
n2
 
0.2%
c2
 
0.2%
Other values (4)4
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter928
99.9%
Connector Punctuation1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r260
28.0%
a132
14.2%
e131
14.1%
g131
14.1%
l131
14.1%
u130
14.0%
i4
 
0.4%
s2
 
0.2%
n2
 
0.2%
c2
 
0.2%
Other values (3)3
 
0.3%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin928
99.9%
Common1
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r260
28.0%
a132
14.2%
e131
14.1%
g131
14.1%
l131
14.1%
u130
14.0%
i4
 
0.4%
s2
 
0.2%
n2
 
0.2%
c2
 
0.2%
Other values (3)3
 
0.3%
Common
ValueCountFrequency (%)
_1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII929
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r260
28.0%
a132
14.2%
e131
14.1%
g131
14.1%
l131
14.1%
u130
14.0%
i4
 
0.4%
s2
 
0.2%
n2
 
0.2%
c2
 
0.2%
Other values (4)4
 
0.4%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-10
131 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1310
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-10
2nd row2020-12-10
3rd row2020-12-10
4th row2020-12-10
5th row2020-12-10

Common Values

ValueCountFrequency (%)
2020-12-10131
100.0%

Length

2022-05-09T21:07:24.393556image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:07:24.508506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-10131
100.0%

Most occurring characters

ValueCountFrequency (%)
2393
30.0%
0393
30.0%
-262
20.0%
1262
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1048
80.0%
Dash Punctuation262
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2393
37.5%
0393
37.5%
1262
25.0%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2393
30.0%
0393
30.0%
-262
20.0%
1262
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2393
30.0%
0393
30.0%
-262
20.0%
1262
20.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct14
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
102 
20:00
 
9
12:00
 
5
21:00
 
3
06:00
 
2
Other values (9)
 
10

Length

Max length5
Median length3
Mean length3.442748092
Min length3

Characters and Unicode

Total characters451
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)6.1%

Sample

1st row08:10
2nd row06:00
3rd rownan
4th rownan
5th row12:00

Common Values

ValueCountFrequency (%)
nan102
77.9%
20:009
 
6.9%
12:005
 
3.8%
21:003
 
2.3%
06:002
 
1.5%
11:002
 
1.5%
08:101
 
0.8%
17:351
 
0.8%
17:001
 
0.8%
20:201
 
0.8%
Other values (4)4
 
3.1%

Length

2022-05-09T21:07:24.620926image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan102
77.9%
20:009
 
6.9%
12:005
 
3.8%
21:003
 
2.3%
06:002
 
1.5%
11:002
 
1.5%
08:101
 
0.8%
17:351
 
0.8%
17:001
 
0.8%
20:201
 
0.8%
Other values (4)4
 
3.1%

Most occurring characters

ValueCountFrequency (%)
n204
45.2%
a102
22.6%
069
 
15.3%
:29
 
6.4%
219
 
4.2%
118
 
4.0%
62
 
0.4%
82
 
0.4%
72
 
0.4%
92
 
0.4%
Other values (2)2
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter306
67.8%
Decimal Number116
 
25.7%
Other Punctuation29
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
069
59.5%
219
 
16.4%
118
 
15.5%
62
 
1.7%
82
 
1.7%
72
 
1.7%
92
 
1.7%
31
 
0.9%
51
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
n204
66.7%
a102
33.3%
Other Punctuation
ValueCountFrequency (%)
:29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin306
67.8%
Common145
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
069
47.6%
:29
20.0%
219
 
13.1%
118
 
12.4%
62
 
1.4%
82
 
1.4%
72
 
1.4%
92
 
1.4%
31
 
0.7%
51
 
0.7%
Latin
ValueCountFrequency (%)
n204
66.7%
a102
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII451
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n204
45.2%
a102
22.6%
069
 
15.3%
:29
 
6.4%
219
 
4.2%
118
 
4.0%
62
 
0.4%
82
 
0.4%
72
 
0.4%
92
 
0.4%
Other values (2)2
 
0.4%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct20
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-10T12:00:00+00:00
56 
2020-12-10T17:00:00+00:00
17 
2020-12-10T04:00:00+00:00
14 
2020-12-10T00:00:00+00:00
2020-12-10T11:00:00+00:00
Other values (15)
29 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3275
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)6.1%

Sample

1st row2020-12-09T20:10:00+00:00
2nd row2020-12-09T21:00:00+00:00
3rd row2020-12-10T00:00:00+00:00
4th row2020-12-10T00:00:00+00:00
5th row2020-12-10T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-10T12:00:00+00:0056
42.7%
2020-12-10T17:00:00+00:0017
 
13.0%
2020-12-10T04:00:00+00:0014
 
10.7%
2020-12-10T00:00:00+00:008
 
6.1%
2020-12-10T11:00:00+00:007
 
5.3%
2020-12-10T06:00:00+00:007
 
5.3%
2020-12-10T14:00:00+00:003
 
2.3%
2020-12-10T13:00:00+00:003
 
2.3%
2020-12-10T09:00:00+00:002
 
1.5%
2020-12-10T10:00:00+00:002
 
1.5%
Other values (10)12
 
9.2%

Length

2022-05-09T21:07:24.805861image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-10t12:00:00+00:0056
42.7%
2020-12-10t17:00:00+00:0017
 
13.0%
2020-12-10t04:00:00+00:0014
 
10.7%
2020-12-10t00:00:00+00:008
 
6.1%
2020-12-10t11:00:00+00:007
 
5.3%
2020-12-10t06:00:00+00:007
 
5.3%
2020-12-10t14:00:00+00:003
 
2.3%
2020-12-10t13:00:00+00:003
 
2.3%
2020-12-10t05:00:00+00:002
 
1.5%
2020-12-10t08:00:00+00:002
 
1.5%
Other values (10)12
 
9.2%

Most occurring characters

ValueCountFrequency (%)
01488
45.4%
2453
 
13.8%
:393
 
12.0%
1358
 
10.9%
-262
 
8.0%
T131
 
4.0%
+131
 
4.0%
718
 
0.5%
417
 
0.5%
67
 
0.2%
Other values (4)17
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2358
72.0%
Other Punctuation393
 
12.0%
Dash Punctuation262
 
8.0%
Uppercase Letter131
 
4.0%
Math Symbol131
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01488
63.1%
2453
 
19.2%
1358
 
15.2%
718
 
0.8%
417
 
0.7%
67
 
0.3%
35
 
0.2%
55
 
0.2%
94
 
0.2%
83
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:393
100.0%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%
Uppercase Letter
ValueCountFrequency (%)
T131
100.0%
Math Symbol
ValueCountFrequency (%)
+131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3144
96.0%
Latin131
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
01488
47.3%
2453
 
14.4%
:393
 
12.5%
1358
 
11.4%
-262
 
8.3%
+131
 
4.2%
718
 
0.6%
417
 
0.5%
67
 
0.2%
35
 
0.2%
Other values (3)12
 
0.4%
Latin
ValueCountFrequency (%)
T131
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01488
45.4%
2453
 
13.8%
:393
 
12.0%
1358
 
10.9%
-262
 
8.0%
T131
 
4.0%
+131
 
4.0%
718
 
0.5%
417
 
0.5%
67
 
0.2%
Other values (4)17
 
0.5%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct44
Distinct (%)38.9%
Missing18
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean39.0619469
Minimum3
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:24.986429image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11.2
Q121
median42
Q345
95-th percentile60
Maximum240
Range237
Interquartile range (IQR)24

Descriptive statistics

Standard deviation27.50658466
Coefficient of variation (CV)0.704178538
Kurtosis25.66131069
Mean39.0619469
Median Absolute Deviation (MAD)10
Skewness3.942208052
Sum4414
Variance756.6121997
MonotonicityNot monotonic
2022-05-09T21:07:25.175229image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
4530
22.9%
308
 
6.1%
126
 
4.6%
206
 
4.6%
484
 
3.1%
604
 
3.1%
423
 
2.3%
253
 
2.3%
493
 
2.3%
132
 
1.5%
Other values (34)44
33.6%
(Missing)18
13.7%
ValueCountFrequency (%)
31
 
0.8%
61
 
0.8%
71
 
0.8%
81
 
0.8%
102
 
1.5%
126
4.6%
132
 
1.5%
141
 
0.8%
152
 
1.5%
161
 
0.8%
ValueCountFrequency (%)
2401
 
0.8%
1202
1.5%
922
1.5%
604
3.1%
591
 
0.8%
551
 
0.8%
531
 
0.8%
522
1.5%
511
 
0.8%
501
 
0.8%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct44
Distinct (%)100.0%
Missing87
Missing (%)66.4%
Memory size1.1 KiB
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720542.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720542.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720800.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720800.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718600.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718600.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721396.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721396.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/300/750798.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/300/750798.jpg'}
 
1
Other values (39)
39 

Length

Max length178
Median length176
Mean length176.0454545
Min length176

Characters and Unicode

Total characters7746
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721274.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721274.jpg'}
2nd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752691.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752691.jpg'}
3rd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/736708.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/736708.jpg'}
4th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720790.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720790.jpg'}
5th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726344.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726344.jpg'}

Common Values

ValueCountFrequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720542.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720542.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720800.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720800.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/718600.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/718600.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721396.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721396.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/300/750798.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/300/750798.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720709.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720709.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720708.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720708.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720547.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720547.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720548.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720548.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720549.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720549.jpg'}1
 
0.8%
Other values (34)34
 
26.0%
(Missing)87
66.4%

Length

2022-05-09T21:07:25.358886image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medium44
25.0%
original44
25.0%
https://static.tvmaze.com/uploads/images/original_untouched/290/726344.jpg1
 
0.6%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720565.jpg1
 
0.6%
https://static.tvmaze.com/uploads/images/original_untouched/285/714316.jpg1
 
0.6%
https://static.tvmaze.com/uploads/images/medium_landscape/285/714316.jpg1
 
0.6%
https://static.tvmaze.com/uploads/images/original_untouched/288/720610.jpg1
 
0.6%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720610.jpg1
 
0.6%
https://static.tvmaze.com/uploads/images/original_untouched/288/721777.jpg1
 
0.6%
https://static.tvmaze.com/uploads/images/medium_landscape/288/721777.jpg1
 
0.6%
Other values (80)80
45.5%

Most occurring characters

ValueCountFrequency (%)
/616
 
8.0%
a528
 
6.8%
t484
 
6.2%
m440
 
5.7%
i440
 
5.7%
s396
 
5.1%
e352
 
4.5%
'352
 
4.5%
o308
 
4.0%
p308
 
4.0%
Other values (28)3522
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5192
67.0%
Other Punctuation1452
 
18.7%
Decimal Number794
 
10.3%
Space Separator132
 
1.7%
Connector Punctuation88
 
1.1%
Close Punctuation44
 
0.6%
Open Punctuation44
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a528
 
10.2%
t484
 
9.3%
m440
 
8.5%
i440
 
8.5%
s396
 
7.6%
e352
 
6.8%
o308
 
5.9%
p308
 
5.9%
g264
 
5.1%
c264
 
5.1%
Other values (9)1408
27.1%
Decimal Number
ValueCountFrequency (%)
2160
20.2%
8154
19.4%
7120
15.1%
0104
13.1%
574
9.3%
340
 
5.0%
940
 
5.0%
438
 
4.8%
134
 
4.3%
630
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/616
42.4%
'352
24.2%
.264
18.2%
:176
 
12.1%
,44
 
3.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Connector Punctuation
ValueCountFrequency (%)
_88
100.0%
Close Punctuation
ValueCountFrequency (%)
}44
100.0%
Open Punctuation
ValueCountFrequency (%)
{44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5192
67.0%
Common2554
33.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/616
24.1%
'352
13.8%
.264
10.3%
:176
 
6.9%
2160
 
6.3%
8154
 
6.0%
132
 
5.2%
7120
 
4.7%
0104
 
4.1%
_88
 
3.4%
Other values (9)388
15.2%
Latin
ValueCountFrequency (%)
a528
 
10.2%
t484
 
9.3%
m440
 
8.5%
i440
 
8.5%
s396
 
7.6%
e352
 
6.8%
o308
 
5.9%
p308
 
5.9%
g264
 
5.1%
c264
 
5.1%
Other values (9)1408
27.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII7746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/616
 
8.0%
a528
 
6.8%
t484
 
6.2%
m440
 
5.7%
i440
 
5.7%
s396
 
5.1%
e352
 
4.5%
'352
 
4.5%
o308
 
4.0%
p308
 
4.0%
Other values (28)3522
45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct38
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
94 
<p>A private plane and some serious retail therapy prove no match for Judy's mounting frustrations with the strict gender roles prescribed to her and Washington. Later, as Judy challenges her younger brother to a tennis match, she also challenges the deep-rooted cultural norms that favor him. Meanwhile, Wash tells Cousin Sammy the secret motivation behind his marriage to Lesley, who's struggling to find her place in the Ho family.</p>
 
1
<p>A party starts at Lica's apartment. He doesn't even ask to see Benê's room. Omar, Ellen's American fiance, arrives in Brazil by surprise.</p>
 
1
<p>Red alert! Host Wil Wheaton is joined by the stars of the U.S.S. Discovery bridge crew, Emily Coutts (Lt. Detmer), Oyin Oladejo (Lt. Owosekun), Patrick Kwok-Choon (Lt. Rhys), Ronnie Rowe Jr. (Lt. Bryce), and Sara Mitich (Lt. Nilsson). Watch them get animated over this week's unexpected plot twist and vigorous fight choreography, plus Wil entices each to admit which Starfleet job they'd secretly like to try.</p>
 
1
<p>When Susie learns magic is beginning to disappear from New York, she tries to lead all the magical creatures to safety.</p>
 
1
Other values (33)
33 

Length

Max length518
Median length3
Mean length59.72519084
Min length3

Characters and Unicode

Total characters7824
Distinct characters70
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)28.2%

Sample

1st rownan
2nd row<p><b>#Seriously mouth watering #Camping Mates formed(?) #NPC On the Block</b></p>
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan94
71.8%
<p>A private plane and some serious retail therapy prove no match for Judy's mounting frustrations with the strict gender roles prescribed to her and Washington. Later, as Judy challenges her younger brother to a tennis match, she also challenges the deep-rooted cultural norms that favor him. Meanwhile, Wash tells Cousin Sammy the secret motivation behind his marriage to Lesley, who's struggling to find her place in the Ho family.</p>1
 
0.8%
<p>A party starts at Lica's apartment. He doesn't even ask to see Benê's room. Omar, Ellen's American fiance, arrives in Brazil by surprise.</p>1
 
0.8%
<p>Red alert! Host Wil Wheaton is joined by the stars of the U.S.S. Discovery bridge crew, Emily Coutts (Lt. Detmer), Oyin Oladejo (Lt. Owosekun), Patrick Kwok-Choon (Lt. Rhys), Ronnie Rowe Jr. (Lt. Bryce), and Sara Mitich (Lt. Nilsson). Watch them get animated over this week's unexpected plot twist and vigorous fight choreography, plus Wil entices each to admit which Starfleet job they'd secretly like to try.</p>1
 
0.8%
<p>When Susie learns magic is beginning to disappear from New York, she tries to lead all the magical creatures to safety.</p>1
 
0.8%
<p>Susie, Ramona, and Barb team up in frozen time to see what's threatening magic.</p>1
 
0.8%
<p>Susie and Ramona train a gaggle of witches until they have a full coven.</p>1
 
0.8%
<p>Ramona sends Susie back to New York in search of new magical creatures.</p>1
 
0.8%
<p>At the Hos' weekly post-church brunch, Judy announces that she's filed for divorce, much to the disapproval of Binh and Hue, her traditional Vietnamese parents. Meanwhile, Judy's brother Washington and his wife Lesley navigate marital issues of their own. With Judy and her kids now invading their space, Wash lives up to his reputation as a drinking, partying playboy, as Lesley tries to keep the household under control. Later, Judy stirs the family pot when she tells Lesley what Hue really thinks about her.</p>1
 
0.8%
<p>As Judy reluctantly accepts the keys to the house her father built for her, she feels the weight of her mother's judgments about her divorce and, later, confesses a secret that stuns her parents. Faced with an ever-unreliable husband, Lesley takes the party-planning reigns for Binh's retirement celebration, but her father-in-law soon reveals that the festivities may be preemptive.</p>1
 
0.8%
Other values (28)28
 
21.4%

Length

2022-05-09T21:07:25.558497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan94
 
7.1%
the67
 
5.1%
to51
 
3.8%
and40
 
3.0%
a31
 
2.3%
her28
 
2.1%
of23
 
1.7%
in14
 
1.1%
for14
 
1.1%
with14
 
1.1%
Other values (664)949
71.6%

Most occurring characters

ValueCountFrequency (%)
1186
15.2%
e724
 
9.3%
n575
 
7.3%
a568
 
7.3%
t495
 
6.3%
i401
 
5.1%
r389
 
5.0%
s362
 
4.6%
o358
 
4.6%
h348
 
4.4%
Other values (60)2418
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5919
75.7%
Space Separator1196
 
15.3%
Uppercase Letter251
 
3.2%
Other Punctuation233
 
3.0%
Math Symbol194
 
2.5%
Dash Punctuation13
 
0.2%
Open Punctuation6
 
0.1%
Close Punctuation6
 
0.1%
Decimal Number6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e724
12.2%
n575
 
9.7%
a568
 
9.6%
t495
 
8.4%
i401
 
6.8%
r389
 
6.6%
s362
 
6.1%
o358
 
6.0%
h348
 
5.9%
l221
 
3.7%
Other values (18)1478
25.0%
Uppercase Letter
ValueCountFrequency (%)
S26
 
10.4%
A23
 
9.2%
W19
 
7.6%
J17
 
6.8%
L17
 
6.8%
C16
 
6.4%
M16
 
6.4%
N15
 
6.0%
B14
 
5.6%
R13
 
5.2%
Other values (14)75
29.9%
Other Punctuation
ValueCountFrequency (%)
.79
33.9%
,64
27.5%
/52
22.3%
'31
 
13.3%
#3
 
1.3%
?2
 
0.9%
!2
 
0.9%
Decimal Number
ValueCountFrequency (%)
13
50.0%
01
 
16.7%
21
 
16.7%
41
 
16.7%
Space Separator
ValueCountFrequency (%)
1186
99.2%
 10
 
0.8%
Math Symbol
ValueCountFrequency (%)
<97
50.0%
>97
50.0%
Dash Punctuation
ValueCountFrequency (%)
-13
100.0%
Open Punctuation
ValueCountFrequency (%)
(6
100.0%
Close Punctuation
ValueCountFrequency (%)
)6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6170
78.9%
Common1654
 
21.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e724
11.7%
n575
 
9.3%
a568
 
9.2%
t495
 
8.0%
i401
 
6.5%
r389
 
6.3%
s362
 
5.9%
o358
 
5.8%
h348
 
5.6%
l221
 
3.6%
Other values (42)1729
28.0%
Common
ValueCountFrequency (%)
1186
71.7%
<97
 
5.9%
>97
 
5.9%
.79
 
4.8%
,64
 
3.9%
/52
 
3.1%
'31
 
1.9%
-13
 
0.8%
 10
 
0.6%
(6
 
0.4%
Other values (8)19
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII7812
99.8%
None12
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1186
15.2%
e724
 
9.3%
n575
 
7.4%
a568
 
7.3%
t495
 
6.3%
i401
 
5.1%
r389
 
5.0%
s362
 
4.6%
o358
 
4.6%
h348
 
4.5%
Other values (57)2406
30.8%
None
ValueCountFrequency (%)
 10
83.3%
ê1
 
8.3%
ø1
 
8.3%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct84
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46185.68702
Minimum6544
Maximum60848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:25.819920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum6544
5-th percentile19122
Q144451.5
median50164
Q352802.5
95-th percentile57406.5
Maximum60848
Range54304
Interquartile range (IQR)8351

Descriptive statistics

Standard deviation11362.85217
Coefficient of variation (CV)0.2460254009
Kurtosis2.724121483
Mean46185.68702
Median Absolute Deviation (MAD)3032
Skewness-1.770583713
Sum6050325
Variance129114409.4
MonotonicityNot monotonic
2022-05-09T21:07:26.234756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500368
 
6.1%
528068
 
6.1%
446547
 
5.3%
536097
 
5.3%
266434
 
3.1%
527824
 
3.1%
306062
 
1.5%
527802
 
1.5%
152502
 
1.5%
527582
 
1.5%
Other values (74)85
64.9%
ValueCountFrequency (%)
65441
 
0.8%
74801
 
0.8%
108921
 
0.8%
132151
 
0.8%
152502
1.5%
167531
 
0.8%
214911
 
0.8%
248371
 
0.8%
262681
 
0.8%
266434
3.1%
ValueCountFrequency (%)
608482
1.5%
592611
0.8%
586892
1.5%
583671
0.8%
575561
0.8%
572571
0.8%
566051
0.8%
562531
0.8%
546101
0.8%
536981
0.8%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct84
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://www.tvmaze.com/shows/50036/alice-in-borderland
 
8
https://www.tvmaze.com/shows/52806/ultimate-note
 
8
https://www.tvmaze.com/shows/44654/house-of-ho
 
7
https://www.tvmaze.com/shows/53609/shikol
 
7
https://www.tvmaze.com/shows/26643/summer-camp-island
 
4
Other values (79)
97 

Length

Max length83
Median length57
Mean length48.96946565
Min length39

Characters and Unicode

Total characters6415
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)48.1%

Sample

1st rowhttps://www.tvmaze.com/shows/34010/azbuki-smesarikov
2nd rowhttps://www.tvmaze.com/shows/41648/sim-for-you
3rd rowhttps://www.tvmaze.com/shows/10892/troe-iz-prostokvasino
4th rowhttps://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit
5th rowhttps://www.tvmaze.com/shows/48683/ispoved

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/50036/alice-in-borderland8
 
6.1%
https://www.tvmaze.com/shows/52806/ultimate-note8
 
6.1%
https://www.tvmaze.com/shows/44654/house-of-ho7
 
5.3%
https://www.tvmaze.com/shows/53609/shikol7
 
5.3%
https://www.tvmaze.com/shows/26643/summer-camp-island4
 
3.1%
https://www.tvmaze.com/shows/52782/mr-right-is-here4
 
3.1%
https://www.tvmaze.com/shows/30606/scishow2
 
1.5%
https://www.tvmaze.com/shows/52780/mermaid-prince2
 
1.5%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
1.5%
https://www.tvmaze.com/shows/52758/stichtag2
 
1.5%
Other values (74)85
64.9%

Length

2022-05-09T21:07:26.775217image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/50036/alice-in-borderland8
 
6.1%
https://www.tvmaze.com/shows/52806/ultimate-note8
 
6.1%
https://www.tvmaze.com/shows/44654/house-of-ho7
 
5.3%
https://www.tvmaze.com/shows/53609/shikol7
 
5.3%
https://www.tvmaze.com/shows/26643/summer-camp-island4
 
3.1%
https://www.tvmaze.com/shows/52782/mr-right-is-here4
 
3.1%
https://www.tvmaze.com/shows/52421/you-complete-me2
 
1.5%
https://www.tvmaze.com/shows/52181/volk2
 
1.5%
https://www.tvmaze.com/shows/45470/12-dates-of-christmas2
 
1.5%
https://www.tvmaze.com/shows/47912/the-wolf2
 
1.5%
Other values (74)85
64.9%

Most occurring characters

ValueCountFrequency (%)
/655
 
10.2%
w543
 
8.5%
t513
 
8.0%
s512
 
8.0%
o402
 
6.3%
h339
 
5.3%
m333
 
5.2%
e305
 
4.8%
.262
 
4.1%
a257
 
4.0%
Other values (30)2294
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4500
70.1%
Other Punctuation1048
 
16.3%
Decimal Number665
 
10.4%
Dash Punctuation202
 
3.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w543
12.1%
t513
11.4%
s512
11.4%
o402
8.9%
h339
 
7.5%
m333
 
7.4%
e305
 
6.8%
a257
 
5.7%
c178
 
4.0%
p166
 
3.7%
Other values (16)952
21.2%
Decimal Number
ValueCountFrequency (%)
5106
15.9%
481
12.2%
080
12.0%
680
12.0%
278
11.7%
862
9.3%
353
8.0%
151
7.7%
939
 
5.9%
735
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/655
62.5%
.262
 
25.0%
:131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4500
70.1%
Common1915
29.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w543
12.1%
t513
11.4%
s512
11.4%
o402
8.9%
h339
 
7.5%
m333
 
7.4%
e305
 
6.8%
a257
 
5.7%
c178
 
4.0%
p166
 
3.7%
Other values (16)952
21.2%
Common
ValueCountFrequency (%)
/655
34.2%
.262
 
13.7%
-202
 
10.5%
:131
 
6.8%
5106
 
5.5%
481
 
4.2%
080
 
4.2%
680
 
4.2%
278
 
4.1%
862
 
3.2%
Other values (4)178
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII6415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/655
 
10.2%
w543
 
8.5%
t513
 
8.0%
s512
 
8.0%
o402
 
6.3%
h339
 
5.3%
m333
 
5.2%
e305
 
4.8%
.262
 
4.1%
a257
 
4.0%
Other values (30)2294
35.8%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct83
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Ultimate Note
 
8
Alice in Borderland
 
8
House of Ho
 
7
Shikol
 
7
Summer Camp Island
 
4
Other values (78)
97 

Length

Max length50
Median length23
Mean length14.28244275
Min length4

Characters and Unicode

Total characters1871
Distinct characters110
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)47.3%

Sample

1st rowАзбуки Смешариков
2nd rowSim for You
3rd rowТрое из Простоквашино
4th row257 причин, чтобы жить
5th rowИсповедь

Common Values

ValueCountFrequency (%)
Ultimate Note8
 
6.1%
Alice in Borderland8
 
6.1%
House of Ho7
 
5.3%
Shikol7
 
5.3%
Summer Camp Island4
 
3.1%
Mr. Right is Here!4
 
3.1%
Mermaid Prince3
 
2.3%
The Young Turks2
 
1.5%
Psych Hunter2
 
1.5%
Be With You2
 
1.5%
Other values (73)84
64.1%

Length

2022-05-09T21:07:26.971772image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the13
 
3.9%
in10
 
3.0%
of10
 
3.0%
ultimate8
 
2.4%
alice8
 
2.4%
borderland8
 
2.4%
note8
 
2.4%
house7
 
2.1%
ho7
 
2.1%
shikol7
 
2.1%
Other values (185)251
74.5%

Most occurring characters

ValueCountFrequency (%)
206
 
11.0%
e157
 
8.4%
o110
 
5.9%
i97
 
5.2%
a94
 
5.0%
r90
 
4.8%
t88
 
4.7%
n75
 
4.0%
l73
 
3.9%
s66
 
3.5%
Other values (100)815
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1325
70.8%
Uppercase Letter296
 
15.8%
Space Separator206
 
11.0%
Other Punctuation31
 
1.7%
Decimal Number12
 
0.6%
Dash Punctuation1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e157
 
11.8%
o110
 
8.3%
i97
 
7.3%
a94
 
7.1%
r90
 
6.8%
t88
 
6.6%
n75
 
5.7%
l73
 
5.5%
s66
 
5.0%
h53
 
4.0%
Other values (47)422
31.8%
Uppercase Letter
ValueCountFrequency (%)
S39
 
13.2%
T25
 
8.4%
M24
 
8.1%
B23
 
7.8%
H22
 
7.4%
A18
 
6.1%
C13
 
4.4%
R12
 
4.1%
N11
 
3.7%
U10
 
3.4%
Other values (28)99
33.4%
Other Punctuation
ValueCountFrequency (%)
.7
22.6%
!7
22.6%
:5
16.1%
'5
16.1%
&3
9.7%
,2
 
6.5%
?1
 
3.2%
#1
 
3.2%
Decimal Number
ValueCountFrequency (%)
26
50.0%
02
 
16.7%
12
 
16.7%
71
 
8.3%
51
 
8.3%
Space Separator
ValueCountFrequency (%)
206
100.0%
Dash Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1460
78.0%
Common250
 
13.4%
Cyrillic161
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e157
 
10.8%
o110
 
7.5%
i97
 
6.6%
a94
 
6.4%
r90
 
6.2%
t88
 
6.0%
n75
 
5.1%
l73
 
5.0%
s66
 
4.5%
h53
 
3.6%
Other values (43)557
38.2%
Cyrillic
ValueCountFrequency (%)
о20
 
12.4%
и13
 
8.1%
к11
 
6.8%
е11
 
6.8%
а10
 
6.2%
р8
 
5.0%
л7
 
4.3%
н7
 
4.3%
т6
 
3.7%
п5
 
3.1%
Other values (32)63
39.1%
Common
ValueCountFrequency (%)
206
82.4%
.7
 
2.8%
!7
 
2.8%
26
 
2.4%
:5
 
2.0%
'5
 
2.0%
&3
 
1.2%
02
 
0.8%
12
 
0.8%
,2
 
0.8%
Other values (5)5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1702
91.0%
Cyrillic161
 
8.6%
None7
 
0.4%
Punctuation1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
 
12.1%
e157
 
9.2%
o110
 
6.5%
i97
 
5.7%
a94
 
5.5%
r90
 
5.3%
t88
 
5.2%
n75
 
4.4%
l73
 
4.3%
s66
 
3.9%
Other values (53)646
38.0%
Cyrillic
ValueCountFrequency (%)
о20
 
12.4%
и13
 
8.1%
к11
 
6.8%
е11
 
6.8%
а10
 
6.2%
р8
 
5.0%
л7
 
4.3%
н7
 
4.3%
т6
 
3.7%
п5
 
3.1%
Other values (32)63
39.1%
None
ValueCountFrequency (%)
ø3
42.9%
ı2
28.6%
ğ1
 
14.3%
Ç1
 
14.3%
Punctuation
ValueCountFrequency (%)
1
100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct9
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Scripted
80 
Reality
15 
Animation
14 
Talk Show
10 
Documentary
 
7
Other values (4)
 
5

Length

Max length11
Median length8
Mean length8.183206107
Min length4

Characters and Unicode

Total characters1072
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st rowAnimation
2nd rowReality
3rd rowAnimation
4th rowScripted
5th rowDocumentary

Common Values

ValueCountFrequency (%)
Scripted80
61.1%
Reality15
 
11.5%
Animation14
 
10.7%
Talk Show10
 
7.6%
Documentary7
 
5.3%
News2
 
1.5%
Game Show1
 
0.8%
Award Show1
 
0.8%
Variety1
 
0.8%

Length

2022-05-09T21:07:27.175868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:07:27.522476image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
scripted80
55.9%
reality15
 
10.5%
animation14
 
9.8%
show12
 
8.4%
talk10
 
7.0%
documentary7
 
4.9%
news2
 
1.4%
game1
 
0.7%
award1
 
0.7%
variety1
 
0.7%

Most occurring characters

ValueCountFrequency (%)
i124
11.6%
t117
10.9%
e106
9.9%
S92
8.6%
r89
8.3%
c87
8.1%
d81
 
7.6%
p80
 
7.5%
a49
 
4.6%
n35
 
3.3%
Other values (17)212
19.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter917
85.5%
Uppercase Letter143
 
13.3%
Space Separator12
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i124
13.5%
t117
12.8%
e106
11.6%
r89
9.7%
c87
9.5%
d81
8.8%
p80
8.7%
a49
 
5.3%
n35
 
3.8%
o33
 
3.6%
Other values (8)116
12.6%
Uppercase Letter
ValueCountFrequency (%)
S92
64.3%
A15
 
10.5%
R15
 
10.5%
T10
 
7.0%
D7
 
4.9%
N2
 
1.4%
G1
 
0.7%
V1
 
0.7%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1060
98.9%
Common12
 
1.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i124
11.7%
t117
11.0%
e106
10.0%
S92
8.7%
r89
8.4%
c87
8.2%
d81
7.6%
p80
 
7.5%
a49
 
4.6%
n35
 
3.3%
Other values (16)200
18.9%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i124
11.6%
t117
10.9%
e106
9.9%
S92
8.6%
r89
8.3%
c87
8.1%
d81
 
7.6%
p80
 
7.5%
a49
 
4.6%
n35
 
3.3%
Other values (17)212
19.8%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct18
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
English
35 
Chinese
32 
Russian
15 
Japanese
Korean
Other values (13)
33 

Length

Max length10
Median length7
Mean length6.954198473
Min length3

Characters and Unicode

Total characters911
Distinct characters34
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)3.1%

Sample

1st rowRussian
2nd rowKorean
3rd rowRussian
4th rowRussian
5th rowRussian

Common Values

ValueCountFrequency (%)
English35
26.7%
Chinese32
24.4%
Russian15
11.5%
Japanese8
 
6.1%
Korean8
 
6.1%
Bengali7
 
5.3%
Norwegian5
 
3.8%
Arabic3
 
2.3%
Dutch3
 
2.3%
Thai3
 
2.3%
Other values (8)12
 
9.2%

Length

2022-05-09T21:07:27.840119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english35
26.7%
chinese32
24.4%
russian15
11.5%
japanese8
 
6.1%
korean8
 
6.1%
bengali7
 
5.3%
norwegian5
 
3.8%
dutch3
 
2.3%
thai3
 
2.3%
arabic3
 
2.3%
Other values (8)12
 
9.2%

Most occurring characters

ValueCountFrequency (%)
n119
13.1%
s109
12.0%
e106
11.6%
i106
11.6%
h75
8.2%
a71
7.8%
g53
 
5.8%
l45
 
4.9%
E35
 
3.8%
C32
 
3.5%
Other values (24)160
17.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter781
85.7%
Uppercase Letter130
 
14.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n119
15.2%
s109
14.0%
e106
13.6%
i106
13.6%
h75
9.6%
a71
9.1%
g53
6.8%
l45
 
5.8%
u23
 
2.9%
r23
 
2.9%
Other values (9)51
6.5%
Uppercase Letter
ValueCountFrequency (%)
E35
26.9%
C32
24.6%
R15
11.5%
J8
 
6.2%
K8
 
6.2%
B7
 
5.4%
T6
 
4.6%
N5
 
3.8%
A3
 
2.3%
D3
 
2.3%
Other values (5)8
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Latin911
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n119
13.1%
s109
12.0%
e106
11.6%
i106
11.6%
h75
8.2%
a71
7.8%
g53
 
5.8%
l45
 
4.9%
E35
 
3.8%
C32
 
3.5%
Other values (24)160
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII911
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n119
13.1%
s109
12.0%
e106
11.6%
i106
11.6%
h75
8.2%
a71
7.8%
g53
 
5.8%
l45
 
4.9%
E35
 
3.8%
C32
 
3.5%
Other values (24)160
17.6%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct35
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
[]
29 
['Drama', 'Romance']
10 
['Drama', 'Comedy', 'Romance']
['Drama', 'Comedy']
['Drama', 'Thriller']
Other values (30)
67 

Length

Max length42
Median length34
Mean length20.27480916
Min length2

Characters and Unicode

Total characters2656
Distinct characters34
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)10.7%

Sample

1st row['Children', 'Family']
2nd row[]
3rd row['Children', 'Family']
4th row['Drama', 'Comedy']
5th row[]

Common Values

ValueCountFrequency (%)
[]29
22.1%
['Drama', 'Romance']10
 
7.6%
['Drama', 'Comedy', 'Romance']9
 
6.9%
['Drama', 'Comedy']8
 
6.1%
['Drama', 'Thriller']8
 
6.1%
['Comedy']8
 
6.1%
['Drama', 'Comedy', 'Adventure']8
 
6.1%
['Drama', 'Science-Fiction', 'Mystery']8
 
6.1%
['Comedy', 'Adventure', 'Fantasy']4
 
3.1%
['Drama']3
 
2.3%
Other values (25)36
27.5%

Length

2022-05-09T21:07:28.161365image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
drama68
25.1%
comedy45
16.6%
29
10.7%
romance28
10.3%
adventure20
 
7.4%
mystery16
 
5.9%
thriller12
 
4.4%
science-fiction12
 
4.4%
fantasy11
 
4.1%
action6
 
2.2%
Other values (9)24
 
8.9%

Most occurring characters

ValueCountFrequency (%)
'484
18.2%
a190
 
7.2%
e180
 
6.8%
m153
 
5.8%
r142
 
5.3%
140
 
5.3%
,140
 
5.3%
]131
 
4.9%
[131
 
4.9%
n98
 
3.7%
Other values (24)867
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1364
51.4%
Other Punctuation624
23.5%
Uppercase Letter254
 
9.6%
Space Separator140
 
5.3%
Close Punctuation131
 
4.9%
Open Punctuation131
 
4.9%
Dash Punctuation12
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a190
13.9%
e180
13.2%
m153
11.2%
r142
10.4%
n98
7.2%
o97
7.1%
y93
6.8%
i74
 
5.4%
c71
 
5.2%
d71
 
5.2%
Other values (8)195
14.3%
Uppercase Letter
ValueCountFrequency (%)
D68
26.8%
C55
21.7%
A30
11.8%
R28
11.0%
F27
 
10.6%
M17
 
6.7%
S14
 
5.5%
T12
 
4.7%
H2
 
0.8%
L1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
'484
77.6%
,140
 
22.4%
Space Separator
ValueCountFrequency (%)
140
100.0%
Close Punctuation
ValueCountFrequency (%)
]131
100.0%
Open Punctuation
ValueCountFrequency (%)
[131
100.0%
Dash Punctuation
ValueCountFrequency (%)
-12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1618
60.9%
Common1038
39.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a190
11.7%
e180
11.1%
m153
 
9.5%
r142
 
8.8%
n98
 
6.1%
o97
 
6.0%
y93
 
5.7%
i74
 
4.6%
c71
 
4.4%
d71
 
4.4%
Other values (18)449
27.8%
Common
ValueCountFrequency (%)
'484
46.6%
140
 
13.5%
,140
 
13.5%
]131
 
12.6%
[131
 
12.6%
-12
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII2656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'484
18.2%
a190
 
7.2%
e180
 
6.8%
m153
 
5.8%
r142
 
5.3%
140
 
5.3%
,140
 
5.3%
]131
 
4.9%
[131
 
4.9%
n98
 
3.7%
Other values (24)867
32.6%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Ended
68 
Running
52 
To Be Determined
11 

Length

Max length16
Median length5
Mean length6.717557252
Min length5

Characters and Unicode

Total characters880
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowRunning
3rd rowRunning
4th rowEnded
5th rowEnded

Common Values

ValueCountFrequency (%)
Ended68
51.9%
Running52
39.7%
To Be Determined11
 
8.4%

Length

2022-05-09T21:07:28.436758image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:07:28.752939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
ended68
44.4%
running52
34.0%
to11
 
7.2%
be11
 
7.2%
determined11
 
7.2%

Most occurring characters

ValueCountFrequency (%)
n235
26.7%
d147
16.7%
e112
12.7%
E68
 
7.7%
i63
 
7.2%
R52
 
5.9%
u52
 
5.9%
g52
 
5.9%
22
 
2.5%
T11
 
1.2%
Other values (6)66
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter705
80.1%
Uppercase Letter153
 
17.4%
Space Separator22
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n235
33.3%
d147
20.9%
e112
15.9%
i63
 
8.9%
u52
 
7.4%
g52
 
7.4%
o11
 
1.6%
t11
 
1.6%
r11
 
1.6%
m11
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
E68
44.4%
R52
34.0%
T11
 
7.2%
B11
 
7.2%
D11
 
7.2%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin858
97.5%
Common22
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n235
27.4%
d147
17.1%
e112
13.1%
E68
 
7.9%
i63
 
7.3%
R52
 
6.1%
u52
 
6.1%
g52
 
6.1%
T11
 
1.3%
o11
 
1.3%
Other values (5)55
 
6.4%
Common
ValueCountFrequency (%)
22
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n235
26.7%
d147
16.7%
e112
12.7%
E68
 
7.7%
i63
 
7.2%
R52
 
5.9%
u52
 
5.9%
g52
 
5.9%
22
 
2.5%
T11
 
1.2%
Other values (6)66
 
7.5%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct23
Distinct (%)28.4%
Missing50
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean40.7037037
Minimum6
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:28.993598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q120
median45
Q345
95-th percentile60
Maximum240
Range234
Interquartile range (IQR)25

Descriptive statistics

Standard deviation29.8611137
Coefficient of variation (CV)0.7336215375
Kurtosis25.1593143
Mean40.7037037
Median Absolute Deviation (MAD)7
Skewness4.120620408
Sum3297
Variance891.6861111
MonotonicityNot monotonic
2022-05-09T21:07:29.180666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4533
25.2%
2010
 
7.6%
306
 
4.6%
604
 
3.1%
153
 
2.3%
403
 
2.3%
253
 
2.3%
1202
 
1.5%
102
 
1.5%
512
 
1.5%
Other values (13)13
 
9.9%
(Missing)50
38.2%
ValueCountFrequency (%)
61
 
0.8%
71
 
0.8%
81
 
0.8%
102
 
1.5%
121
 
0.8%
131
 
0.8%
153
 
2.3%
161
 
0.8%
181
 
0.8%
2010
7.6%
ValueCountFrequency (%)
2401
 
0.8%
1202
 
1.5%
621
 
0.8%
604
 
3.1%
581
 
0.8%
521
 
0.8%
512
 
1.5%
501
 
0.8%
481
 
0.8%
4533
25.2%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct42
Distinct (%)35.3%
Missing12
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean37.6302521
Minimum2
Maximum211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:29.354548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9.9
Q120
median45
Q345
95-th percentile60.2
Maximum211
Range209
Interquartile range (IQR)25

Descriptive statistics

Standard deviation25.253248
Coefficient of variation (CV)0.6710889934
Kurtosis19.18212764
Mean37.6302521
Median Absolute Deviation (MAD)13
Skewness3.183084162
Sum4478
Variance637.7265347
MonotonicityNot monotonic
2022-05-09T21:07:29.527594image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
4533
25.2%
488
 
6.1%
327
 
5.3%
206
 
4.6%
115
 
3.8%
103
 
2.3%
603
 
2.3%
303
 
2.3%
403
 
2.3%
503
 
2.3%
Other values (32)45
34.4%
(Missing)12
 
9.2%
ValueCountFrequency (%)
21
 
0.8%
31
 
0.8%
61
 
0.8%
81
 
0.8%
92
 
1.5%
103
2.3%
115
3.8%
122
 
1.5%
133
2.3%
142
 
1.5%
ValueCountFrequency (%)
2111
 
0.8%
1202
1.5%
771
 
0.8%
631
 
0.8%
621
 
0.8%
603
2.3%
572
1.5%
561
 
0.8%
541
 
0.8%
511
 
0.8%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct63
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-10
37 
2020-11-12
 
6
2020-11-18
 
4
2018-07-07
 
4
2020-11-19
 
4
Other values (58)
76 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1310
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)35.1%

Sample

1st row2006-10-11
2nd row2019-03-25
3rd row1978-06-10
4th row2020-03-26
5th row2020-05-11

Common Values

ValueCountFrequency (%)
2020-12-1037
28.2%
2020-11-126
 
4.6%
2020-11-184
 
3.1%
2018-07-074
 
3.1%
2020-11-194
 
3.1%
2020-11-053
 
2.3%
2020-11-263
 
2.3%
2020-10-293
 
2.3%
2020-11-253
 
2.3%
2020-12-033
 
2.3%
Other values (53)61
46.6%

Length

2022-05-09T21:07:29.813636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-1037
28.2%
2020-11-126
 
4.6%
2020-11-184
 
3.1%
2018-07-074
 
3.1%
2020-11-194
 
3.1%
2020-11-053
 
2.3%
2020-11-263
 
2.3%
2020-10-293
 
2.3%
2020-11-253
 
2.3%
2020-12-033
 
2.3%
Other values (53)61
46.6%

Most occurring characters

ValueCountFrequency (%)
0351
26.8%
2318
24.3%
-262
20.0%
1233
17.8%
926
 
2.0%
325
 
1.9%
824
 
1.8%
421
 
1.6%
718
 
1.4%
617
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1048
80.0%
Dash Punctuation262
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0351
33.5%
2318
30.3%
1233
22.2%
926
 
2.5%
325
 
2.4%
824
 
2.3%
421
 
2.0%
718
 
1.7%
617
 
1.6%
515
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0351
26.8%
2318
24.3%
-262
20.0%
1233
17.8%
926
 
2.0%
325
 
1.9%
824
 
1.8%
421
 
1.6%
718
 
1.4%
617
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0351
26.8%
2318
24.3%
-262
20.0%
1233
17.8%
926
 
2.0%
325
 
1.9%
824
 
1.8%
421
 
1.6%
718
 
1.4%
617
 
1.3%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct25
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
63 
2020-12-10
21 
2021-01-02
2020-12-24
 
5
2020-12-18
 
4
Other values (20)
30 

Length

Max length10
Median length10
Mean length6.633587786
Min length3

Characters and Unicode

Total characters869
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)9.9%

Sample

1st rownan
2nd rownan
3rd rownan
4th row2021-01-21
5th row2021-02-08

Common Values

ValueCountFrequency (%)
nan63
48.1%
2020-12-1021
 
16.0%
2021-01-028
 
6.1%
2020-12-245
 
3.8%
2020-12-184
 
3.1%
2020-12-174
 
3.1%
2020-12-113
 
2.3%
2020-12-282
 
1.5%
2021-01-042
 
1.5%
2020-12-302
 
1.5%
Other values (15)17
 
13.0%

Length

2022-05-09T21:07:30.101560image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan63
48.1%
2020-12-1021
 
16.0%
2021-01-028
 
6.1%
2020-12-245
 
3.8%
2020-12-184
 
3.1%
2020-12-174
 
3.1%
2020-12-113
 
2.3%
2021-01-142
 
1.5%
2020-12-162
 
1.5%
2020-12-302
 
1.5%
Other values (15)17
 
13.0%

Most occurring characters

ValueCountFrequency (%)
2205
23.6%
0170
19.6%
-136
15.7%
1133
15.3%
n126
14.5%
a63
 
7.2%
810
 
1.2%
49
 
1.0%
77
 
0.8%
66
 
0.7%
Other values (2)4
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number544
62.6%
Lowercase Letter189
 
21.7%
Dash Punctuation136
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2205
37.7%
0170
31.2%
1133
24.4%
810
 
1.8%
49
 
1.7%
77
 
1.3%
66
 
1.1%
32
 
0.4%
52
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
n126
66.7%
a63
33.3%
Dash Punctuation
ValueCountFrequency (%)
-136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common680
78.3%
Latin189
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2205
30.1%
0170
25.0%
-136
20.0%
1133
19.6%
810
 
1.5%
49
 
1.3%
77
 
1.0%
66
 
0.9%
32
 
0.3%
52
 
0.3%
Latin
ValueCountFrequency (%)
n126
66.7%
a63
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2205
23.6%
0170
19.6%
-136
15.7%
1133
15.3%
n126
14.5%
a63
 
7.2%
810
 
1.2%
49
 
1.0%
77
 
0.8%
66
 
0.7%
Other values (2)4
 
0.5%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct75
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
24 
https://www.iqiyi.com/a_nvzsmw0tgx.html
 
8
https://www.netflix.com/title/80200575
 
8
https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj
 
7
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO
 
4
Other values (70)
80 

Length

Max length250
Median length78
Mean length44.10687023
Min length3

Characters and Unicode

Total characters5778
Distinct characters73
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)45.8%

Sample

1st rowhttp://www.smeshariki.ru
2nd rowhttps://www.vlive.tv/video/121637
3rd rowhttps://okko.tv/serial/prostokvashino
4th rowhttps://start.ru/watch/257-prichin-chtoby-zhit
5th rowhttps://premier.one/collections/134

Common Values

ValueCountFrequency (%)
nan24
 
18.3%
https://www.iqiyi.com/a_nvzsmw0tgx.html8
 
6.1%
https://www.netflix.com/title/802005758
 
6.1%
https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj7
 
5.3%
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO4
 
3.1%
https://www.tytnetwork.com2
 
1.5%
https://v.qq.com/detail/m/mzc00200gbahyn5.html2
 
1.5%
https://www.joyn.de/serien/stichtag2
 
1.5%
https://so.youku.com/search_video/q_%E9%A2%84%E6%94%AF%E6%9C%AA%E6%9D%A5?spm=a2hbt.13141534.left-title-content-wrap.5~A2
 
1.5%
https://www.iqiyi.com/a_19rrhskr95.html2
 
1.5%
Other values (65)70
53.4%

Length

2022-05-09T21:07:30.458715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan24
 
18.3%
https://www.netflix.com/title/802005758
 
6.1%
https://www.iqiyi.com/a_nvzsmw0tgx.html8
 
6.1%
https://play.hbomax.com/series/urn:hbo:series:gxvttlqwjdcldgqeaaamj7
 
5.3%
https://play.hbomax.com/series/urn:hbo:series:gxkydlageby7czgeaacho4
 
3.1%
https://www.iqiyi.com/lib/m_213579814.html2
 
1.5%
https://www.youtube.com/user/scishow2
 
1.5%
https://play.hbomax.com/series/urn:hbo:series:gx6mzzwzycjyswweaaalf2
 
1.5%
https://premier.one/show/123392
 
1.5%
https://play.hbomax.com/page/urn:hbo:page:gx5mhsqzwwiulwgeaaacp:type:series2
 
1.5%
Other values (65)70
53.4%

Most occurring characters

ValueCountFrequency (%)
/427
 
7.4%
t409
 
7.1%
s309
 
5.3%
e266
 
4.6%
o234
 
4.0%
h223
 
3.9%
w221
 
3.8%
.220
 
3.8%
i202
 
3.5%
p191
 
3.3%
Other values (63)3076
53.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3702
64.1%
Other Punctuation902
 
15.6%
Decimal Number539
 
9.3%
Uppercase Letter525
 
9.1%
Dash Punctuation68
 
1.2%
Connector Punctuation21
 
0.4%
Math Symbol21
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t409
 
11.0%
s309
 
8.3%
e266
 
7.2%
o234
 
6.3%
h223
 
6.0%
w221
 
6.0%
i202
 
5.5%
p191
 
5.2%
a185
 
5.0%
m174
 
4.7%
Other values (16)1288
34.8%
Uppercase Letter
ValueCountFrequency (%)
A77
14.7%
E36
 
6.9%
L31
 
5.9%
D31
 
5.9%
C30
 
5.7%
Q28
 
5.3%
T26
 
5.0%
X26
 
5.0%
G26
 
5.0%
P22
 
4.2%
Other values (16)192
36.6%
Decimal Number
ValueCountFrequency (%)
070
13.0%
166
12.2%
562
11.5%
954
10.0%
851
9.5%
651
9.5%
450
9.3%
248
8.9%
348
8.9%
739
7.2%
Other Punctuation
ValueCountFrequency (%)
/427
47.3%
.220
24.4%
:182
20.2%
%57
 
6.3%
?14
 
1.6%
&2
 
0.2%
Math Symbol
ValueCountFrequency (%)
=16
76.2%
~3
 
14.3%
+2
 
9.5%
Dash Punctuation
ValueCountFrequency (%)
-68
100.0%
Connector Punctuation
ValueCountFrequency (%)
_21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4227
73.2%
Common1551
 
26.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t409
 
9.7%
s309
 
7.3%
e266
 
6.3%
o234
 
5.5%
h223
 
5.3%
w221
 
5.2%
i202
 
4.8%
p191
 
4.5%
a185
 
4.4%
m174
 
4.1%
Other values (42)1813
42.9%
Common
ValueCountFrequency (%)
/427
27.5%
.220
14.2%
:182
11.7%
070
 
4.5%
-68
 
4.4%
166
 
4.3%
562
 
4.0%
%57
 
3.7%
954
 
3.5%
851
 
3.3%
Other values (11)294
19.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/427
 
7.4%
t409
 
7.1%
s309
 
5.3%
e266
 
4.6%
o234
 
4.0%
h223
 
3.9%
w221
 
3.8%
.220
 
3.8%
i202
 
3.5%
p191
 
3.3%
Other values (63)3076
53.2%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION

Distinct47
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.03053435
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:30.752913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q123.5
median43
Q357.5
95-th percentile96
Maximum100
Range99
Interquartile range (IQR)34

Descriptive statistics

Standard deviation27.53569402
Coefficient of variation (CV)0.6399105759
Kurtosis-0.5783950061
Mean43.03053435
Median Absolute Deviation (MAD)19
Skewness0.510461341
Sum5637
Variance758.2144451
MonotonicityNot monotonic
2022-05-09T21:07:31.204262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
438
 
6.1%
548
 
6.1%
968
 
6.1%
457
 
5.3%
446
 
4.6%
156
 
4.6%
295
 
3.8%
255
 
3.8%
345
 
3.8%
795
 
3.8%
Other values (37)68
51.9%
ValueCountFrequency (%)
13
2.3%
23
2.3%
31
 
0.8%
62
 
1.5%
72
 
1.5%
84
3.1%
102
 
1.5%
111
 
0.8%
142
 
1.5%
156
4.6%
ValueCountFrequency (%)
1003
 
2.3%
968
6.1%
932
 
1.5%
901
 
0.8%
872
 
1.5%
795
3.8%
731
 
0.8%
712
 
1.5%
701
 
0.8%
671
 
0.8%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
130 
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}
 
1

Length

Max length70
Median length3
Mean length3.511450382
Min length3

Characters and Unicode

Total characters460
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan130
99.2%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}1
 
0.8%

Length

2022-05-09T21:07:31.536928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:07:31.989832image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan130
94.2%
name1
 
0.7%
korea1
 
0.7%
republic1
 
0.7%
of1
 
0.7%
code1
 
0.7%
kr1
 
0.7%
timezone1
 
0.7%
asia/seoul1
 
0.7%

Most occurring characters

ValueCountFrequency (%)
n262
57.0%
a133
28.9%
'12
 
2.6%
e7
 
1.5%
7
 
1.5%
o5
 
1.1%
i3
 
0.7%
:3
 
0.7%
,3
 
0.7%
R2
 
0.4%
Other values (18)23
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter426
92.6%
Other Punctuation19
 
4.1%
Space Separator7
 
1.5%
Uppercase Letter6
 
1.3%
Open Punctuation1
 
0.2%
Close Punctuation1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n262
61.5%
a133
31.2%
e7
 
1.6%
o5
 
1.2%
i3
 
0.7%
c2
 
0.5%
l2
 
0.5%
u2
 
0.5%
m2
 
0.5%
p1
 
0.2%
Other values (7)7
 
1.6%
Other Punctuation
ValueCountFrequency (%)
'12
63.2%
:3
 
15.8%
,3
 
15.8%
/1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
R2
33.3%
K2
33.3%
A1
16.7%
S1
16.7%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
{1
100.0%
Close Punctuation
ValueCountFrequency (%)
}1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin432
93.9%
Common28
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n262
60.6%
a133
30.8%
e7
 
1.6%
o5
 
1.2%
i3
 
0.7%
R2
 
0.5%
c2
 
0.5%
l2
 
0.5%
u2
 
0.5%
K2
 
0.5%
Other values (11)12
 
2.8%
Common
ValueCountFrequency (%)
'12
42.9%
7
25.0%
:3
 
10.7%
,3
 
10.7%
{1
 
3.6%
/1
 
3.6%
}1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n262
57.0%
a133
28.9%
'12
 
2.6%
e7
 
1.5%
7
 
1.5%
o5
 
1.1%
i3
 
0.7%
:3
 
0.7%
,3
 
0.7%
R2
 
0.4%
Other values (18)23
 
5.0%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct70
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
17 
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>
 
8
<p>With his two friends, a video-game-obsessed young man finds himself in a strange version of Tokyo where they must compete in dangerous games to survive.</p>
 
8
<p><b>Shikol</b> is the story of a extremely beautiful girl with extremely bad luck. Beauty seems enemy in her case. The role of fate dominates the story. The protagonist Nandini's struggle, love, seduction &amp; suffering are the key features of this story.</p>
 
7
<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>
 
7
Other values (65)
84 

Length

Max length1010
Median length621
Mean length341.4503817
Min length3

Characters and Unicode

Total characters44730
Distinct characters89
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)38.2%

Sample

1st rownan
2nd row<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
3rd rownan
4th row<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>
5th row<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>

Common Values

ValueCountFrequency (%)
nan17
 
13.0%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>8
 
6.1%
<p>With his two friends, a video-game-obsessed young man finds himself in a strange version of Tokyo where they must compete in dangerous games to survive.</p>8
 
6.1%
<p><b>Shikol</b> is the story of a extremely beautiful girl with extremely bad luck. Beauty seems enemy in her case. The role of fate dominates the story. The protagonist Nandini's struggle, love, seduction &amp; suffering are the key features of this story.</p>7
 
5.3%
<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>7
 
5.3%
<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>4
 
3.1%
<p>‎The fashion company faced a crisis. Sun Chi, the young owner of the company, at a critical moment took over the management and became the new CEO. He promised his father that in three months he would be able to promote the project "promoting fashion" that will help to get out of the crisis. ‎ </p><p>‎Gio Intao, who wanted to be the queen of the fashion industry, by coincidence got into the company and became subordinate to the "devil", a young gene. Director Sun Chi.‎   </p><p>‎Sun Chi and Xiao Intao led a fashion company to resolve the crisis and open new markets, allowing Chinese fashion brands to enter the global market step by step. At the same time, they begin to feel each other.‎</p>4
 
3.1%
<p><b>12 Dates of Christmas</b> is a holiday-inspired dating series set in a stunning winter wonderland. The series follows a cast of singles as they step into a real-life romantic comedy full of cozy sweaters, fireside cuddles, and mistletoe kisses, all arranged to help these souls find love - just in time for the holidays.</p>2
 
1.5%
<p>‎Shen Moo, has no idea what adventures she will face. Beauty, is one of the best observers of Internet resources, but soon, in her head creeps the idea that in the universe there are mermaids. It's hard to believe, but for some reason, she can't get it out of her mind. Soon, she will have to take responsibility to prove their existence, otherwise, the dispute with the professor will turn out to be a real failure for the heroine. Together with the rescue team, they went to help the victims in The Xine Bay. Meet Ahn Xin - an athlete, will turn her reality. Unbelievable, but the guy is perceived as a mermaid. Of course, Mu Xin liked it madly, because she found a key witness and will be able to insist on her own. However, the mermaid man does his best to avoid revealing his real world.‎</p>2
 
1.5%
<p>FUN EDUCATIONAL videos for children! Kids will learn colors, learn shapes, learn numbers, learn letters, the alphabet, abc's and so much more with Blippi's nursery rhymes, educational songs, and educational videos! Blippi ties in things children love like Backhoes, Tractors, Planes, Trains, Animals, Boats, Unicorns, Construction Equipment, Firetrucks, Horses, and the list goes on! Incorporating cartoons and animation with real life footage!</p>2
 
1.5%
Other values (60)70
53.4%

Length

2022-05-09T21:07:32.339354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the409
 
5.5%
and278
 
3.7%
a259
 
3.5%
of211
 
2.8%
to196
 
2.6%
in137
 
1.8%
with88
 
1.2%
is86
 
1.2%
his82
 
1.1%
that67
 
0.9%
Other values (1681)5663
75.7%

Most occurring characters

ValueCountFrequency (%)
7324
16.4%
e4210
 
9.4%
t2828
 
6.3%
a2787
 
6.2%
o2633
 
5.9%
n2597
 
5.8%
i2520
 
5.6%
s2295
 
5.1%
r1951
 
4.4%
h1848
 
4.1%
Other values (79)13737
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter33860
75.7%
Space Separator7355
 
16.4%
Uppercase Letter1298
 
2.9%
Other Punctuation1267
 
2.8%
Math Symbol740
 
1.7%
Dash Punctuation102
 
0.2%
Format40
 
0.1%
Decimal Number36
 
0.1%
Close Punctuation15
 
< 0.1%
Open Punctuation15
 
< 0.1%
Other values (2)2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e4210
12.4%
t2828
 
8.4%
a2787
 
8.2%
o2633
 
7.8%
n2597
 
7.7%
i2520
 
7.4%
s2295
 
6.8%
r1951
 
5.8%
h1848
 
5.5%
l1380
 
4.1%
Other values (21)8811
26.0%
Uppercase Letter
ValueCountFrequency (%)
S135
 
10.4%
H133
 
10.2%
T128
 
9.9%
C74
 
5.7%
A66
 
5.1%
B64
 
4.9%
W61
 
4.7%
L59
 
4.5%
X53
 
4.1%
D52
 
4.0%
Other values (16)473
36.4%
Other Punctuation
ValueCountFrequency (%)
,503
39.7%
.360
28.4%
/193
 
15.2%
'106
 
8.4%
"38
 
3.0%
!21
 
1.7%
;12
 
0.9%
:11
 
0.9%
?10
 
0.8%
&10
 
0.8%
Other values (2)3
 
0.2%
Decimal Number
ValueCountFrequency (%)
211
30.6%
011
30.6%
15
13.9%
53
 
8.3%
43
 
8.3%
71
 
2.8%
31
 
2.8%
81
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
-83
81.4%
15
 
14.7%
4
 
3.9%
Space Separator
ValueCountFrequency (%)
7324
99.6%
 31
 
0.4%
Math Symbol
ValueCountFrequency (%)
>370
50.0%
<370
50.0%
Format
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
)15
100.0%
Open Punctuation
ValueCountFrequency (%)
(15
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Currency Symbol
ValueCountFrequency (%)
$1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin35158
78.6%
Common9572
 
21.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e4210
12.0%
t2828
 
8.0%
a2787
 
7.9%
o2633
 
7.5%
n2597
 
7.4%
i2520
 
7.2%
s2295
 
6.5%
r1951
 
5.5%
h1848
 
5.3%
l1380
 
3.9%
Other values (47)10109
28.8%
Common
ValueCountFrequency (%)
7324
76.5%
,503
 
5.3%
>370
 
3.9%
<370
 
3.9%
.360
 
3.8%
/193
 
2.0%
'106
 
1.1%
-83
 
0.9%
40
 
0.4%
"38
 
0.4%
Other values (22)185
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII44632
99.8%
Punctuation61
 
0.1%
None37
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7324
16.4%
e4210
 
9.4%
t2828
 
6.3%
a2787
 
6.2%
o2633
 
5.9%
n2597
 
5.8%
i2520
 
5.6%
s2295
 
5.1%
r1951
 
4.4%
h1848
 
4.1%
Other values (68)13639
30.6%
Punctuation
ValueCountFrequency (%)
40
65.6%
15
 
24.6%
4
 
6.6%
1
 
1.6%
1
 
1.6%
None
ValueCountFrequency (%)
 31
83.8%
ø2
 
5.4%
å1
 
2.7%
ã1
 
2.7%
ê1
 
2.7%
é1
 
2.7%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct84
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1633324544
Minimum1607167585
Maximum1652126507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:07:32.953669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1607167585
5-th percentile1607641557
Q11612709204
median1640938387
Q31648760166
95-th percentile1651933269
Maximum1652126507
Range44958922
Interquartile range (IQR)36050961.5

Descriptive statistics

Standard deviation17646606.97
Coefficient of variation (CV)0.01080410322
Kurtosis-1.617319651
Mean1633324544
Median Absolute Deviation (MAD)10133467
Skewness-0.4319291721
Sum2.139655153 × 1011
Variance3.114027376 × 1014
MonotonicityNot monotonic
2022-05-09T21:07:33.698119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16483095978
 
6.1%
16491780848
 
6.1%
16076415577
 
5.3%
16134870177
 
5.3%
16393002024
 
3.1%
16096716404
 
3.1%
16447620052
 
1.5%
16096488852
 
1.5%
16481900582
 
1.5%
16096410182
 
1.5%
Other values (74)85
64.9%
ValueCountFrequency (%)
16071675851
 
0.8%
16076272121
 
0.8%
16076383811
 
0.8%
16076387711
 
0.8%
16076415577
5.3%
16079646561
 
0.8%
16083319081
 
0.8%
16083343021
 
0.8%
16084990071
 
0.8%
16091051381
 
0.8%
ValueCountFrequency (%)
16521265071
0.8%
16520679312
1.5%
16520165431
0.8%
16519813431
0.8%
16519364791
0.8%
16519333291
0.8%
16519332091
0.8%
16517773161
0.8%
16517641951
0.8%
16517491651
0.8%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/2001669
 
1
https://api.tvmaze.com/episodes/2001667
 
1
https://api.tvmaze.com/episodes/2001666
 
1
https://api.tvmaze.com/episodes/2001665
 
1
Other values (126)
126 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5109
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.8%
https://api.tvmaze.com/episodes/20016691
 
0.8%
https://api.tvmaze.com/episodes/20016671
 
0.8%
https://api.tvmaze.com/episodes/20016661
 
0.8%
https://api.tvmaze.com/episodes/20016651
 
0.8%
https://api.tvmaze.com/episodes/20000731
 
0.8%
https://api.tvmaze.com/episodes/20000721
 
0.8%
https://api.tvmaze.com/episodes/19975381
 
0.8%
https://api.tvmaze.com/episodes/19975371
 
0.8%
https://api.tvmaze.com/episodes/19884051
 
0.8%
Other values (121)121
92.4%

Length

2022-05-09T21:07:34.189372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.8%
https://api.tvmaze.com/episodes/23122251
 
0.8%
https://api.tvmaze.com/episodes/19640001
 
0.8%
https://api.tvmaze.com/episodes/19954051
 
0.8%
https://api.tvmaze.com/episodes/20077601
 
0.8%
https://api.tvmaze.com/episodes/19857891
 
0.8%
https://api.tvmaze.com/episodes/20396221
 
0.8%
https://api.tvmaze.com/episodes/20396231
 
0.8%
https://api.tvmaze.com/episodes/23244271
 
0.8%
https://api.tvmaze.com/episodes/23244281
 
0.8%
Other values (121)121
92.4%

Most occurring characters

ValueCountFrequency (%)
/524
 
10.3%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
t393
 
7.7%
o262
 
5.1%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
Other values (16)1703
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3275
64.1%
Other Punctuation917
 
17.9%
Decimal Number917
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p393
12.0%
s393
12.0%
e393
12.0%
t393
12.0%
o262
8.0%
a262
8.0%
i262
8.0%
m262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%
Decimal Number
ValueCountFrequency (%)
2142
15.5%
9141
15.4%
0124
13.5%
1111
12.1%
378
8.5%
674
8.1%
871
7.7%
461
6.7%
760
6.5%
555
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/524
57.1%
.262
28.6%
:131
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin3275
64.1%
Common1834
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/524
28.6%
.262
14.3%
2142
 
7.7%
9141
 
7.7%
:131
 
7.1%
0124
 
6.8%
1111
 
6.1%
378
 
4.3%
674
 
4.0%
871
 
3.9%
Other values (3)176
 
9.6%
Latin
ValueCountFrequency (%)
p393
12.0%
s393
12.0%
e393
12.0%
t393
12.0%
o262
8.0%
a262
8.0%
i262
8.0%
m262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/524
 
10.3%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
t393
 
7.7%
o262
 
5.1%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
Other values (16)1703
33.3%

Interactions

2022-05-09T21:07:15.131079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:05:59.346422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:20.588313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:29.251049image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:36.583709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:44.463025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:58.520331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:04.384738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:10.894342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:17.597625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:03.539621image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:25.519971image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:33.033699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:40.731460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:48.802632image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:00.813283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:08.151511image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:13.009930image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:17.801334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:05.310814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:25.765307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:33.280856image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:40.971275image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:49.735686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:01.103280image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:08.487736image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:13.161530image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:17.986084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:06.776317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:26.039104image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:33.535654image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:41.215602image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:50.628049image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:01.390813image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:08.650586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:13.314242image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:18.168983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:08.041369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:26.232640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:33.772846image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:41.453880image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:51.496459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:01.649617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:08.806839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:13.468890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:19.456693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:12.127664image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:28.083651image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:35.688583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:43.549685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:54.362733image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:03.513188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:10.152605image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:14.571354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:19.631693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:14.533606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:28.290660image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:35.904173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:43.792805image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:55.465316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:03.701460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:10.331372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:14.713847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:19.823052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:16.162134image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:28.754672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:36.134629image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:44.040475image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:56.485126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:03.939165image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:10.529412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:14.862305image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:19.986700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:18.256416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:28.968385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:36.399393image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:44.228950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:06:57.421785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:04.104162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:10.720354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:14.996394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:07:34.578456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:07:35.183034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:07:35.489543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:07:35.761648image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:07:36.145591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:07:20.272478image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:07:21.632490image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:07:21.987683image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:07:22.204838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
01993635https://www.tvmaze.com/episodes/1993635/azbuki-smesarikov-16x07-podarokПодарок16.07.0regular2020-12-1008:102020-12-09T20:10:00+00:003.0Nonenan34010https://www.tvmaze.com/shows/34010/azbuki-smesarikovАзбуки СмешариковAnimationRussian['Children', 'Family']RunningNaN3.02006-10-11nanhttp://www.smeshariki.ru66.0nannan1.609105e+09https://api.tvmaze.com/episodes/1977902
11988858https://www.tvmaze.com/episodes/1988858/sim-for-you-4x20-chanyeols-episode-20Chanyeol's Episode 204.020.0regular2020-12-1006:002020-12-09T21:00:00+00:0016.0None<p><b>#Seriously mouth watering #Camping Mates formed(?) #NPC On the Block</b></p>41648https://www.tvmaze.com/shows/41648/sim-for-youSim for YouRealityKorean[]Running16.016.02019-03-25nanhttps://www.vlive.tv/video/12163771.0nan<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>1.608499e+09https://api.tvmaze.com/episodes/2015818
21983840https://www.tvmaze.com/episodes/1983840/troe-iz-prostokvasino-s02-special-alenkij-cvetocekАленький цветочек2.0NaNsignificant_special2020-12-10nan2020-12-10T00:00:00+00:0019.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721274.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721274.jpg'}nan10892https://www.tvmaze.com/shows/10892/troe-iz-prostokvasinoТрое из ПростоквашиноAnimationRussian['Children', 'Family']Running7.015.01978-06-10nanhttps://okko.tv/serial/prostokvashino41.0nannan1.651339e+09https://api.tvmaze.com/episodes/1964000
31963997https://www.tvmaze.com/episodes/1963997/257-pricin-ctoby-zit-2x07-seria-20Серия 202.07.0regular2020-12-10nan2020-12-10T00:00:00+00:0025.0Nonenan43722https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit257 причин, чтобы житьScriptedRussian['Drama', 'Comedy']Ended25.024.02020-03-262021-01-21https://start.ru/watch/257-prichin-chtoby-zhit38.0nan<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>1.617284e+09https://api.tvmaze.com/episodes/1995405
42053349https://www.tvmaze.com/episodes/2053349/ispoved-1x07-irina-bezrukovaИрина Безрукова1.07.0regular2020-12-1012:002020-12-10T00:00:00+00:0048.0Nonenan48683https://www.tvmaze.com/shows/48683/ispovedИсповедьDocumentaryRussian[]Ended48.047.02020-05-112021-02-08https://premier.one/collections/1342.0nan<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>1.637062e+09https://api.tvmaze.com/episodes/2007760
51960727https://www.tvmaze.com/episodes/1960727/psih-1x06-opustosenieОпустошение1.06.0regular2020-12-1012:002020-12-10T00:00:00+00:0055.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752691.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752691.jpg'}nan49280https://www.tvmaze.com/shows/49280/psihПсихScriptedRussian['Drama', 'Thriller']Ended62.062.02020-11-052020-12-24https://more.tv/psih29.0nan<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>1.619195e+09https://api.tvmaze.com/episodes/1985789
61954454https://www.tvmaze.com/episodes/1954454/serlok-v-rossii-1x08-serdce-holmsa-iiСердце Холмса II1.08.0regular2020-12-10nan2020-12-10T00:00:00+00:0050.0Nonenan49422https://www.tvmaze.com/shows/49422/serlok-v-rossiiШерлок в РоссииScriptedRussian['Crime', 'Mystery']To Be Determined52.051.02020-10-22nanhttps://start.ru/watch/sherlok-v-rossii38.0nannan1.643091e+09https://api.tvmaze.com/episodes/2039622
71981561https://www.tvmaze.com/episodes/1981561/volk-1x03-seria-03Серия 031.03.0regular2020-12-10nan2020-12-10T00:00:00+00:0048.0Nonenan52181https://www.tvmaze.com/shows/52181/volkВолкScriptedRussian['Drama', 'Adventure', 'Mystery']Ended51.050.02020-12-072020-12-28https://premier.one/show/1233925.0nannan1.640436e+09https://api.tvmaze.com/episodes/2039623
81981562https://www.tvmaze.com/episodes/1981562/volk-1x04-seria-04Серия 041.04.0regular2020-12-10nan2020-12-10T00:00:00+00:0049.0Nonenan52181https://www.tvmaze.com/shows/52181/volkВолкScriptedRussian['Drama', 'Adventure', 'Mystery']Ended51.050.02020-12-072020-12-28https://premier.one/show/1233925.0nannan1.640436e+09https://api.tvmaze.com/episodes/2324427
91986872https://www.tvmaze.com/episodes/1986872/kotiki-1x09-seria-9Серия 91.09.0regular2020-12-10nan2020-12-10T00:00:00+00:0012.0Nonenan52198https://www.tvmaze.com/shows/52198/kotikiКотикиScriptedRussian['Comedy']Ended12.012.02020-11-302020-12-11http://epic-media.ru/project/kotiki15.0nannan1.637555e+09https://api.tvmaze.com/episodes/2324428

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
1211983842https://www.tvmaze.com/episodes/1983842/house-of-ho-1x03-ho-lotta-gossipHo Lotta Gossip1.03.0regular2020-12-10nan2020-12-10T17:00:00+00:0029.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720562.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720562.jpg'}<p>As Judy reluctantly accepts the keys to the house her father built for her, she feels the weight of her mother's judgments about her divorce and, later, confesses a secret that stuns her parents. Faced with an ever-unreliable husband, Lesley takes the party-planning reigns for Binh's retirement celebration, but her father-in-law soon reveals that the festivities may be preemptive.</p>44654https://www.tvmaze.com/shows/44654/house-of-hoHouse of HoRealityEnglish[]EndedNaN32.02020-12-102020-12-10https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj43.0nan<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>1.607642e+09https://api.tvmaze.com/episodes/2234297
1221983843https://www.tvmaze.com/episodes/1983843/house-of-ho-1x04-ho-listicHo-listic1.04.0regular2020-12-10nan2020-12-10T17:00:00+00:0033.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720561.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720561.jpg'}<p>Judy challenges her father to see her as an adult and accept her relationship with Dr. Nate. Washington turns to his mother for help when his attempt to win Lesley over with lavish gifts backfires.</p>44654https://www.tvmaze.com/shows/44654/house-of-hoHouse of HoRealityEnglish[]EndedNaN32.02020-12-102020-12-10https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj43.0nan<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>1.607642e+09https://api.tvmaze.com/episodes/2236494
1231983844https://www.tvmaze.com/episodes/1983844/house-of-ho-1x05-duck-duck-hoDuck, Duck Ho1.05.0regular2020-12-10nan2020-12-10T17:00:00+00:0032.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720560.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720560.jpg'}<p>A boys-only hunting trip offers a rare appearance by Binh's youngest child Reagan, who isn't afraid to speak his mind. Meanwhile, Lesley begs the Ho women for help in corralling her out-of-control husband, revealing a shameful and shocking family secret in the process.</p>44654https://www.tvmaze.com/shows/44654/house-of-hoHouse of HoRealityEnglish[]EndedNaN32.02020-12-102020-12-10https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj43.0nan<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>1.607642e+09https://api.tvmaze.com/episodes/1977423
1241983845https://www.tvmaze.com/episodes/1983845/house-of-ho-1x06-new-year-new-hoNew Year, New Ho1.06.0regular2020-12-10nan2020-12-10T17:00:00+00:0034.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720559.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720559.jpg'}<p>Judy hosts a lively party at her house to celebrate Lunar New Year, but thanks to her parents, her boyfriend is nowhere to be found. Meanwhile, Washington's drinking becomes a family matter when he seeks his father's advice, forcing Wash to contemplate whether his loyalty falls with his family's expectations, or with the needs of his wife.</p>44654https://www.tvmaze.com/shows/44654/house-of-hoHouse of HoRealityEnglish[]EndedNaN32.02020-12-102020-12-10https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj43.0nan<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>1.607642e+09https://api.tvmaze.com/episodes/1976649
1251983846https://www.tvmaze.com/episodes/1983846/house-of-ho-1x07-the-big-four-hoThe Big Four-Ho1.07.0regular2020-12-10nan2020-12-10T17:00:00+00:0030.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720558.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720558.jpg'}<p>As Judy's 40th birthday approaches, she invites her parents to meet her boyfriend on her terms. Meanwhile, Washington is rocked by shocking news from his father, and Dr. Nate drops a bomb that will change the Ho family forever.</p>44654https://www.tvmaze.com/shows/44654/house-of-hoHouse of HoRealityEnglish[]EndedNaN32.02020-12-102020-12-10https://play.hbomax.com/series/urn:hbo:series:GXvTTlQwJdcLDGQEAAAMj43.0nan<p><b>House of Ho</b> follows multi-generational Ho family, led by patriarch Binh Ho and his wife, Hue Ho, the power couple immigrated from Vietnam to the United States with little money, relying on hard work to establish the ultimate American dream. They have built a multi-million dollar bank, a real estate development company and a new generation of American Ho's. The series pulls back the curtain of their lavish Houston lifestyle and showcases the tight family connections that unite them as well as the multi-generational outrageous drama that ensues. While Binh and Hue have laid down a golden foundation for their children, Judy Ho and Washington Ho (yes, named after the nation's founding father and whose kids are named Lincoln and Roosevelt), they are not exempt from the constant pressure to achieve and to live up to their parents' lofty expectations. Despite the power struggles, at the end of the day, the Ho household is filled with love, laughter, and a few designer handbags, of course.</p>1.607642e+09https://api.tvmaze.com/episodes/2005096
1261969366https://www.tvmaze.com/episodes/1969366/12-dates-of-christmas-1x07-take-me-ho-ho-homeTake Me Ho Ho Home1.07.0regular2020-12-10nan2020-12-10T17:00:00+00:00NaN{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723342.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723342.jpg'}<p>It's out of the castle and into the real world for the 11th date of Christmas! While Chad and Faith surprise their families with special newcomers, Garrett makes a decision that shocks everyone.</p>45470https://www.tvmaze.com/shows/45470/12-dates-of-christmas12 Dates of ChristmasRealityEnglish['Romance']To Be DeterminedNaN43.02020-11-26nanhttps://play.hbomax.com/series/urn:hbo:series:GX6MzzwZycJYSwwEAAALF44.0nan<p><b>12 Dates of Christmas</b> is a holiday-inspired dating series set in a stunning winter wonderland. The series follows a cast of singles as they step into a real-life romantic comedy full of cozy sweaters, fireside cuddles, and mistletoe kisses, all arranged to help these souls find love - just in time for the holidays.</p>1.651110e+09https://api.tvmaze.com/episodes/2005098
1271969367https://www.tvmaze.com/episodes/1969367/12-dates-of-christmas-1x08-bae-all-acquaintances-be-forgotBae All Acquaintances Be Forgot1.08.0regular2020-12-10nan2020-12-10T17:00:00+00:00NaN{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723343.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723343.jpg'}<p>Chad, Faith, and Garrett leave their families behind and head to the ultimate romantic destination. As their fairytale journeys come to an end, they lay it all on the line for the 12th and final New Year's Eve date to determine the future of their relationships.</p>45470https://www.tvmaze.com/shows/45470/12-dates-of-christmas12 Dates of ChristmasRealityEnglish['Romance']To Be DeterminedNaN43.02020-11-26nanhttps://play.hbomax.com/series/urn:hbo:series:GX6MzzwZycJYSwwEAAALF44.0nan<p><b>12 Dates of Christmas</b> is a holiday-inspired dating series set in a stunning winter wonderland. The series follows a cast of singles as they step into a real-life romantic comedy full of cozy sweaters, fireside cuddles, and mistletoe kisses, all arranged to help these souls find love - just in time for the holidays.</p>1.651110e+09https://api.tvmaze.com/episodes/2005099
1281982594https://www.tvmaze.com/episodes/1982594/tooning-out-the-news-1x111-virtue-signal"Virtue Signal"1.0111.0regular2020-12-10nan2020-12-10T17:00:00+00:007.0None<p>Virtue Signal breaks down Trump's rejected Supreme Court case and the rise of Newsmax with New York Times media columnist Ben Smith. Plus, Kylie Weaver shares her best journalism from the year and her thoughts on Giuliani's recovery. </p>45812https://www.tvmaze.com/shows/45812/tooning-out-the-newsTooning Out the NewsAnimationEnglish['Comedy']RunningNaN13.02020-04-07nanhttps://www.paramountplus.com/shows/tooning-out-the-news/43.0nan<p><b>Tooning Out the News</b> will provide short daily segments leading up to a weekly full episodes featuring a cast of animated characters mocking news of the day, and interviewing real-world guests and newsmakers.</p>1.636748e+09https://api.tvmaze.com/episodes/2005100
1291980778https://www.tvmaze.com/episodes/1980778/tyler-perrys-ruthless-1x17-unnatural-actsUnnatural Acts1.017.0regular2020-12-10nan2020-12-10T17:00:00+00:0049.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/731965.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/731965.jpg'}<p>Zane is tied up and blindfolded while Dikahn is having sex with Ruth as she beats her. Tally turns on Joan and reveals her secret, which leads to Dikahn ordering Joan to the punishment trailer. Andrew plays the tape he recorded of Sarah and Malcolm having sex for Cynthia. Tally and Ruth meet us to discuss the revelation of Joan being the mole for which they've been searching.</p>46668https://www.tvmaze.com/shows/46668/tyler-perrys-ruthlessTyler Perry's RuthlessScriptedEnglish['Drama']Running45.045.02020-03-19nanhttps://www.bet.plus/shows/tyler-perrys-ruthless93.0nan<p>The riveting story of a woman named Ruth who kidnaps her young daughter to join her in the dark underworld of a fanatical religious cult. Based on a character introduced in <i>Tyler Perry's The Oval</i>.</p>1.651981e+09https://api.tvmaze.com/episodes/2005101
1302008766https://www.tvmaze.com/episodes/2008766/esme-roy-2x26-holiday-spiritHoliday Spirit2.026.0regular2020-12-10nan2020-12-10T17:00:00+00:0010.0Nonenan48041https://www.tvmaze.com/shows/48041/esme-royEsme & RoyAnimationEnglish['Adventure', 'Children', 'Fantasy']To Be Determined10.010.02018-08-18nanhttps://play.hbomax.com/page/urn:hbo:page:GXsglJQS-CIsfsAEAAABI:type:series37.0nan<p>Esme and Roy are best friends — and the best monstersitters in Monsterdale! The animated series from the makers of <i>Sesame Street</i> will bring little viewers into a colorful world where even the littlest monsters can overcome big challenges together.</p>1.612437e+09https://api.tvmaze.com/episodes/2005102